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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14527230#comment-14527230
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David Smiley commented on LUCENE-6196:
--------------------------------------
I think the Geo3d branch, technically {{lucene6196}}, is now ready to merge
into trunk, and then the 5x branch. I could generate a patch, but unless there
are process reasons (e.g. I "have to"?) or technical reasons I am unaware of,
I'll simply merge in the branch. The CHANGES.txt entry I plan to add is as
follows:
{noformat}
* LUCENE-6196: New Spatial "Geo3d" API with partial Spatial4j integration.
It is a set of shapes implemented using 3D planar geometry for calculating
spatial relations on the surface of a sphere. Shapes include Point, BBox,
Circle, Path (buffered line string), and Polygon.
(Karl Wright via David Smiley)
{noformat}
Karl, if you suggest any changes then just let me know. If I don't get another
+1 then I'll commit in two days.
> Include geo3d package, along with Lucene integration to make it useful
> ----------------------------------------------------------------------
>
> Key: LUCENE-6196
> URL: https://issues.apache.org/jira/browse/LUCENE-6196
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/spatial
> Reporter: Karl Wright
> Assignee: David Smiley
> Attachments: LUCENE-6196-additions.patch, LUCENE-6196-fixes.patch,
> LUCENE-6196_Geo3d.patch, ShapeImpl.java, geo3d-tests.zip, geo3d.zip
>
>
> I would like to explore contributing a geo3d package to Lucene. This can be
> used in conjunction with Lucene search, both for generating geohashes (via
> spatial4j) for complex geographic shapes, as well as limiting results
> resulting from those queries to those results within the exact shape in
> highly performant ways.
> The package uses 3d planar geometry to do its magic, which basically limits
> computation necessary to determine membership (once a shape has been
> initialized, of course) to only multiplications and additions, which makes it
> feasible to construct a performant BoostSource-based filter for geographic
> shapes. The math is somewhat more involved when generating geohashes, but is
> still more than fast enough to do a good job.
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